Manager, Intelligent Automation & Enablement

Vizient; Chicago (IL); On-site; USD 118,000 - 206,000; Full time

Benefits offered by this job

Incentive eligible

Job summary

Vizient in Irving, Texas seeks a senior Engineering Delivery lead to manage AI Automation Delivery PODs, guiding AI-enabled automation projects through the AI Delivery Lifecycle with Agile discipline.

You will coordinate planning, development, testing, deployment, and production readiness while ensuring high-quality, predictable delivery and strong stakeholder reporting.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Engineering, Business, or related field preferred.
• 5+ years in software engineering or enterprise technology delivery.
• 3+ years leading Agile software engineering teams or enterprise tech initiatives.
• Experience with SDLC, DevOps, CI/CD, release management, and production support.

Responsibilities

• Lead one or more AI Automation Delivery PODs delivering enterprise AI and automation initiatives through Vizient’s AI Delivery Lifecycle.
• Oversee day-to-day execution from planning through deployment ensuring predictable delivery and high quality.
• Facilitate Agile ceremonies: sprint planning, standups, backlog refinement, reviews, retrospectives, and release planning.
• Manage Azure DevOps delivery activities: epics, features, user stories, tasks, bugs, sprints, dashboards.
• Coordinate across engineers, QA, business analysts, contractors, and stakeholders to balance workload and priorities.
• Track sprint velocity, cycle times, risks, blockers, and delivery KPIs; produce weekly status reports.
• Align engineering execution with portfolio priorities and staffing plans.
• Coordinate technical execution, architecture reviews, and production support planning.
• Ensure all phases of AI-DLC: engineering, testing, UAT, production readiness, deployment, and hypercare.

Skills

Agile delivery

Azure DevOps

Scrum

SDLC

DevOps

Cross-functional collaboration

Leadership

Education

Bachelor’s degree in CS/IS/Engineering/related field

Tools

Azure DevOps

Jira

UiPath

Power Platform

Job description

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will lead the day-to-day engineering delivery of Vizient’s AI Intelligent Automation initiatives by managing one or more AI Automation Delivery PODs. You will be responsible for ensuring automation and AI solutions progress efficiently through the AI Delivery Lifecycle (AI-DLC), from engineering planning and sprint execution through testing, deployment, and production readiness.

You will partner closely with the Director, AI Intelligent Automation, who owns portfolio management, business priorities, governance, and organizational operations, and with the Lead AI Automation Engineer, who owns solution architecture, technology selection, and engineering standards. You will oversee Agile delivery execution, Azure DevOps planning, sprint management, engineering coordination, delivery reporting, release readiness, and continuous improvement to ensure predictable, high-quality delivery of enterprise automation solutions.

Success in this role is measured by the health and performance of AI Automation Delivery PODs, including delivery predictability, sprint execution, engineering throughput, release quality, operational excellence, and the consistent delivery of business value through enterprise AI and Intelligent Automation initiatives.

Responsibilities

• Lead one or more AI Automation Delivery PODs responsible for delivering enterprise AI and Intelligent Automation initiatives through Vizient’s AI Delivery Lifecycle (AI-DLC).
• Own the day-to-day execution of automation initiatives from engineering planning through deployment, ensuring predictable delivery, high quality, and operational readiness.
• Facilitate Agile delivery ceremonies including sprint planning, daily standups, backlog refinement, sprint reviews, retrospectives, and release planning.
• Manage Azure DevOps delivery activities including epics, features, user stories, tasks, bugs, sprint planning, work item quality, and delivery dashboards.
• Coordinate engineering work across Lead AI Automation Engineers, Senior AI Automation Engineers, AI Automation Engineers, QA resources, business analysts, contractors, and other delivery team members.
• Monitor sprint execution, engineering capacity, delivery progress, dependencies, risks, blockers, and resource utilization to ensure successful delivery commitments.
• Partner with the Director, AI Intelligent Automation to align engineering execution with approved portfolio priorities, staffing plans, business commitments, and organizational objectives.
• Partner with the Lead AI Automation Engineer to coordinate technical execution, solution readiness, engineering estimates, architecture reviews, production support planning, and engineering quality.
• Ensure automation initiatives progress through all phases of the AI Delivery Lifecycle (AI-DLC), including engineering, testing, user acceptance, production readiness, deployment, hypercare, and operational transition.
• Coordinate release planning, deployment activities, production readiness reviews, rollback planning, and post-production validation to ensure successful implementations.
• Prepare and communicate weekly delivery status reports, sprint metrics, engineering dashboards, delivery forecasts, risks, and mitigation plans for leadership.
• Track and report engineering delivery KPIs including sprint velocity, delivery predictability, cycle time, lead time, backlog health, release success, and delivery throughput.
• Balance engineering workloads across Delivery PODs by coordinating assignments, managing priorities, and proactively addressing resource constraints.
• Identify delivery risks early and work with engineering and business stakeholders to develop mitigation and recovery plans.
• Drive continuous improvement of Agile practices, Azure DevOps processes, AI-DLC execution, engineering workflows, delivery metrics, and operational efficiency.
• Coach and develop engineers in Agile delivery practices, engineering discipline, collaboration, accountability, and continuous improvement.
• Foster a collaborative, high-performing engineering culture focused on quality, transparency, predictable delivery, and customer satisfaction.
• Ensure engineering documentation, Azure DevOps artifacts, and delivery records are complete, accurate, and maintained throughout the AI Delivery Lifecycle.
• Support production operations by coordinating defect resolution, release stabilization, and continuous improvement activities following deployment.
• Perform other leadership responsibilities necessary to ensure the successful execution of enterprise AI and Intelligent Automation initiatives.

Qualifications

• Relevant bachelor’s degree in Computer Science, Information Systems, Software Engineering, Engineering, Business, or a related field preferred.
• 5+ years of experience in software engineering, enterprise technology delivery, automation, engineering operations, project management, or related technical disciplines.
• 3+ years of experience leading Agile software engineering teams, engineering delivery organizations, or enterprise technology initiatives.
• Experience managing software development projects through the Software Development Lifecycle (SDLC) using Agile delivery methodologies.
• Experience leading Scrum teams and facilitating Agile ceremonies including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives.
• Experience managing engineering work using Azure DevOps, Jira, or comparable Agile project management platforms.
• Experience coordinating cross-functional engineering teams consisting of software engineers, quality engineers, business analysts, architects, contractors, and business stakeholders.
• Experience managing engineering capacity, delivery schedules, dependencies, risks, and resource allocation across multiple concurrent initiatives.
• Experience preparing executive-ready delivery status reports, project dashboards, KPIs, and risk assessments.
• Working knowledge of enterprise Intelligent Automation platforms including UiPath, Microsoft Power Platform, and AI-enabled automation technologies.
• Understanding of enterprise software engineering practices including SDLC, DevOps, CI/CD, release management, production support, and change management.
• Experience coordinating production deployments, release readiness activities, operational support, and post-production stabilization.
• Strong organizational, planning, communication, facilitation, and problem-solving skills with the ability to manage multiple priorities in a fast-paced environment.
• Proven ability to build collaborative relationships across engineering, business, and operational teams while fostering accountability, transparency, and continuous improvement.
• Ability and willingness to work onsite in Vizient’s Irving, Texas office.

#LI-JB1

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

• This position is also incentive eligible.
• Vizient has a comprehensive benefits plan! Please view our benefits here:
• http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.